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Modal Aggregation Technique to Check the Accuracy of the Model Reduction of Array Cable Systems in Offshore Wind Farms

Author

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  • Mohammad Kazem Bakhshizadeh

    (Ørsted Wind Power A/S, 7000 Fredericia, Denmark)

  • Benjamin Vilmann

    (Ørsted Wind Power A/S, 7000 Fredericia, Denmark
    Department of Wind and Energy Systems, Technical University of Denmark, 2800 Kongens Lyngby, Denmark)

  • Łukasz Kocewiak

    (Ørsted Wind Power A/S, 7000 Fredericia, Denmark)

Abstract

The need for a verification method for aggregation techniques for passive electrical systems is necessary as power systems increase in complexity. Model reduction is crucial to increase the number of simulations necessary to ensure a stable and reliable design of power systems. This paper presents a novel modal domain-based technique to identify the best aggregation technique for a given system and to indicate the validity of the aggregation. This is done by benchmarking different aggregation techniques and using the dominant contribution factor ratio as a validity parameter. The different aggregation techniques are compared via time-domain simulations against the full detailed model. It is found that (1) the power loss aggregation technique is the most precise when it weighs the equivalent impedances of the parallel feeders, (2) unequal current generation does not impact the aggregation accuracy, (3) individual string aggregation provides the best results for dynamic simulations, and (4) the validity of aggregation decreases as frequency or cable length increases.

Suggested Citation

  • Mohammad Kazem Bakhshizadeh & Benjamin Vilmann & Łukasz Kocewiak, 2022. "Modal Aggregation Technique to Check the Accuracy of the Model Reduction of Array Cable Systems in Offshore Wind Farms," Energies, MDPI, vol. 15(21), pages 1-19, October.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:21:p:7996-:d:955464
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    References listed on IDEAS

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    1. Mercado-Vargas, M.J. & Gómez-Lorente, D. & Rabaza, O. & Alameda-Hernandez, E., 2015. "Aggregated models of permanent magnet synchronous generators wind farms," Renewable Energy, Elsevier, vol. 83(C), pages 1287-1298.
    2. Fernández, Luis M. & Jurado, Francisco & Saenz, José Ramón, 2008. "Aggregated dynamic model for wind farms with doubly fed induction generator wind turbines," Renewable Energy, Elsevier, vol. 33(1), pages 129-140.
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    Cited by:

    1. Songyuan Li & Pengxian Song & Zhanpeng Wei & Xu Li & Qinghua Tang & Zhengzheng Meng & Ji Li & Songtao Liu & Yuhuai Wang & Jin Li, 2022. "Partial Discharge Detection and Defect Location Method in GIS Cable Terminal," Energies, MDPI, vol. 16(1), pages 1-10, December.

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